Zobrazeno 1 - 10
of 325
pro vyhledávání: '"68P20"'
Autor:
Olasunkanmi, Olawumi, Morris, Evan, Kebede, Yaphet, Lee, Harlin, Ahalt, Stanley, Tropsha, Alexander, Bizon, Chris
Knowledge graphs (KGs) represent connections and relationships between real-world entities. We propose a link prediction framework for KGs named Enrichment-Driven GrAph Reasoner (EDGAR), which infers new edges by mining entity-local rules. This appro
Externí odkaz:
http://arxiv.org/abs/2409.18659
The Big Data explosion has necessitated the development of search algorithms that scale sub-linearly in time and memory. While compression algorithms and search algorithms do exist independently, few algorithms offer both, and those which do are doma
Externí odkaz:
http://arxiv.org/abs/2409.12161
Autor:
Benrazek, Ala-Eddine, Kouahla, Zineddine, Farou, Brahim, Seridi, Hamid, Kemouguette, Ibtissem
The proliferation of interconnected devices in the Internet of Things (IoT) has led to an exponential increase in data, commonly known as Big IoT Data. Efficient retrieval of this heterogeneous data demands a robust indexing mechanism for effective o
Externí odkaz:
http://arxiv.org/abs/2408.16036
Autor:
Arends, Bauke, Vessies, Melle, van Osch, Dirk, Teske, Arco, van der Harst, Pim, van Es, René, van Es, Bram
Clinical machine learning research and AI driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests the f
Externí odkaz:
http://arxiv.org/abs/2408.06930
Autor:
Eslami, Navid, Dayan, Niv
Range filters are probabilistic data structures that answer approximate range emptiness queries. They aid in avoiding processing empty range queries and have use cases in many application domains such as key-value stores and social web analytics. How
Externí odkaz:
http://arxiv.org/abs/2408.05625
Publikováno v:
Sound and Music Computing Conference (SMC2024)
In the Western music tradition, chords are the main constituent components of harmony, a fundamental dimension of music. Despite its relevance for several Music Information Retrieval (MIR) tasks, chord-annotated audio datasets are limited and need mo
Externí odkaz:
http://arxiv.org/abs/2408.00674
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computin
Externí odkaz:
http://arxiv.org/abs/2407.17316
In the Levenshtein's sequence reconstruction problem a codeword is transmitted through $N$ channels and in each channel a set of errors is introduced to the transmitted word. In previous works, the restriction that each channel provides a unique outp
Externí odkaz:
http://arxiv.org/abs/2406.14125
Finding maximum cliques in large networks is a challenging combinatorial problem with many real-world applications. We present a fast algorithm to achieve the exact solution for the maximum clique problem in large sparse networks based on efficient g
Externí odkaz:
http://arxiv.org/abs/2404.11862
Publikováno v:
2023 IEEE International Conference on Data Mining Workshops (ICDMW), December 1-4, 2023, Shanghai, China
Knowledge graphs (KGs) have garnered significant attention for their vast potential across diverse domains. However, the issue of outdated facts poses a challenge to KGs, affecting their overall quality as real-world information evolves. Existing sol
Externí odkaz:
http://arxiv.org/abs/2402.03732